GCP Data Engineer
Pune, Maharashtra, India
CloudHire, a remote employee provider that sources globally, is looking for a skilled GCP Data Engineer to join their team in the Information Technology and Services industry. As a GCP Data Engineer, you will be responsible for designing, developing and implementing data architectures on Google Cloud Platform (GCP). CloudHire offers vetted, time-flexible, remote staff for businesses to hire the top 2% of global talent. In addition, CloudHire provides international payroll, benefits, taxes, and compliance for businesses, big and small. The ideal candidate will have a strong background in data engineering and architecture, with the ability to work in a fast-paced, fully remote environment.
Years of experience - 5-8 years
Location - Pune (Hybrid)
Mandatory skill sets - BigQuery, Data Flow, Composures, GCP Services, SQL, Migration Process, Migration Tools ( Plate spin, Cloud Physics, Stratozone)
Salary - upto 24 LPA
Role - Full time, permanent role
Responsibilities
- Designing, developing, and implementing data architectures on GCP
- Collaborating with the team to identify and improve data processes and pipelines
- Gathering and processing raw data from various sources
- Creating and maintaining optimal data pipeline architectures
- Conducting experiments and troubleshooting data issues
- Evaluating new data technologies and processes to improve data infrastructure
- Ensuring data compliance and security standards are met
Requirements
- Bachelor's degree in Computer Science, Information Technology, or related field
- Experience designing, developing and implementing data architecture on GCP
- Strong knowledge of data processing and analysis tools such as BigQuery, Dataflow, and Cloud Storage
- Experience with data modeling and ETL processes
- Familiarity with programming languages such as Python, Java, or Scala
- Working knowledge of data security and privacy regulations
- Excellent problem-solving skills and attention to detail
- Effective communication skills to collaborate with cross-functional teams.
Benefits
- Training & Development
- Performance Bonus
Job Profile
Hybrid
Benefits/PerksDevelopment Hybrid work Performance bonus Training
Tasks- Create data pipeline architectures
- Design data architectures
- Develop data processes
- Evaluate new data technologies
- Gather and process raw data
- Troubleshoot data issues
BigQuery Cloud Physics Communication Data Architecture Data engineering Data Flow Data Modeling Data Security ETL GCP Java Migration Tools Problem-solving Python Scala SQL Stratozone Troubleshooting
Experience5-8 years
Education Timezones